Lingfei Ma
Orcid: 0000-0001-8893-9693
According to our database1,
Lingfei Ma
authored at least 65 papers
between 2009 and 2024.
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Bibliography
2024
Crack-U<sup>2</sup>Net: Multiscale Feature Learning Network for Pavement Crack Detection From Large-Scale MLS Point Clouds.
IEEE Trans. Intell. Transp. Syst., November, 2024
RdmkNet & Toronto-RDMK: Large-Scale Datasets for Road Marking Classification and Segmentation.
IEEE Trans. Intell. Transp. Syst., October, 2024
IEEE Internet Things J., September, 2024
HigherNet-DST: Higher-Resolution Network With Dynamic Scale Training for Rooftop Delineation.
IEEE Trans. Geosci. Remote. Sens., 2024
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
High autistic traits linked with reduced performance on affective task switching: An ERP study.
NeuroImage, 2024
Dual-modal Prior Semantic Guided Infrared and Visible Image Fusion for Intelligent Transportation System.
CoRR, 2024
A spatiotemporal attention-augmented ConvLSTM model for ocean remote sensing reflectance prediction.
Int. J. Appl. Earth Obs. Geoinformation, 2024
Status, advancements and prospects of deep learning methods applied in forest studies.
Int. J. Appl. Earth Obs. Geoinformation, 2024
DAAL-WS: A weakly-supervised method integrated with data augmentation and active learning strategies for MLS point cloud semantic segmentation.
Int. J. Appl. Earth Obs. Geoinformation, 2024
Weakly Supervised Point Cloud Segmentation by Combining Active Learning Annotation and Multi-Consistency Mechanism.
Proceedings of the IGARSS 2024, 2024
Multi-Granularity Feature Fusion For Point Cloud Semantic Segmentation Under Urban Scenes.
Proceedings of the IGARSS 2024, 2024
2023
Towards intelligent ground filtering of large-scale topographic point clouds: A comprehensive survey.
Int. J. Appl. Earth Obs. Geoinformation, December, 2023
MVPNet: A multi-scale voxel-point adaptive fusion network for point cloud semantic segmentation in urban scenes.
Int. J. Appl. Earth Obs. Geoinformation, August, 2023
IET Softw., June, 2023
SIFNet: A self-attention interaction fusion network for multisource satellite imagery template matching.
Int. J. Appl. Earth Obs. Geoinformation, April, 2023
SCL-GCN: Stratified Contrastive Learning Graph Convolution Network for pavement crack detection from mobile LiDAR point clouds.
Int. J. Appl. Earth Obs. Geoinformation, April, 2023
A comparative study of loss functions for road segmentation in remotely sensed road datasets.
Int. J. Appl. Earth Obs. Geoinformation, February, 2023
An Overlap-Free Calibration Method for LiDAR-Camera Platforms Based on Environmental Perception.
IEEE Trans. Instrum. Meas., 2023
IEEE Trans. Instrum. Meas., 2023
Nighttime Light Missing Data Retrieval Using Modis Version 6 Satellite Data and Mask Dilated Partial Convolutional Neural Network.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Enhancing Spatial Resolution of Building Datasets Using Transformer-Based Single-Image Super-Resolution.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
Int. J. Appl. Earth Obs. Geoinformation, August, 2022
IEEE Trans. Intell. Transp. Syst., 2022
Robust Lane Extraction From MLS Point Clouds Towards HD Maps Especially in Curve Road.
IEEE Trans. Intell. Transp. Syst., 2022
BoundaryNet: Extraction and Completion of Road Boundaries With Deep Learning Using Mobile Laser Scanning Point Clouds and Satellite Imagery.
IEEE Trans. Intell. Transp. Syst., 2022
Spectral-Spatial Transformer Network for Hyperspectral Image Classification: A Factorized Architecture Search Framework.
IEEE Trans. Geosci. Remote. Sens., 2022
STN: Saliency-Guided Transformer Network for Point-Wise Semantic Segmentation of Urban Scenes.
IEEE Geosci. Remote. Sens. Lett., 2022
WaterHRNet: A multibranch hierarchical attentive network for water body extraction with remote sensing images.
Int. J. Appl. Earth Obs. Geoinformation, 2022
Pavement crack detection from CCD images with a locally enhanced transformer network.
Int. J. Appl. Earth Obs. Geoinformation, 2022
Int. J. Appl. Earth Obs. Geoinformation, 2022
SD-GCN: Saliency-based dilated graph convolution network for pavement crack extraction from 3D point clouds.
Int. J. Appl. Earth Obs. Geoinformation, 2022
WSPointNet: A multi-branch weakly supervised learning network for semantic segmentation of large-scale mobile laser scanning point clouds.
Int. J. Appl. Earth Obs. Geoinformation, 2022
Int. J. Appl. Earth Obs. Geoinformation, 2022
Super-resolving and composing building dataset using a momentum spatial-channel attention residual feature aggregation network.
Int. J. Appl. Earth Obs. Geoinformation, 2022
Semantic segmentation with labeling uncertainty and class imbalance applied to vegetation mapping.
Int. J. Appl. Earth Obs. Geoinformation, 2022
Optimizing and Evaluating Swin Transformer for Aircraft Classification: Analysis and Generalizability of the MTARSI Dataset.
IEEE Access, 2022
Proceedings of the 22nd IEEE International Conference on Software Quality, 2022
Proceedings of the 4th International Conference on Data Intelligence and Security, 2022
2021
IEEE Trans. Neural Networks Learn. Syst., 2021
Multi-Scale Point-Wise Convolutional Neural Networks for 3D Object Segmentation From LiDAR Point Clouds in Large-Scale Environments.
IEEE Trans. Intell. Transp. Syst., 2021
Capsule-Based Networks for Road Marking Extraction and Classification From Mobile LiDAR Point Clouds.
IEEE Trans. Intell. Transp. Syst., 2021
Cellular Automata Based Land-Use Change Simulation Considering Spatio-Temporal Influence Heterogeneity of Light Rail Transit Construction: A Case in Nanjing, China.
ISPRS Int. J. Geo Inf., 2021
Ecol. Informatics, 2021
Reconstructing GRACE-like TWS anomalies for the Canadian landmass using deep learning and land surface model.
Int. J. Appl. Earth Obs. Geoinformation, 2021
Prediction of insect-herbivory-damage and insect-type attack in maize plants using hyperspectral data.
Int. J. Appl. Earth Obs. Geoinformation, 2021
Semantic Segmentation of UAV Lidar Point Clouds of a Stack Interchange with Deep Neural Networks.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
OpenGF: An Ultra-Large-Scale Ground Filtering Dataset Built Upon Open ALS Point Clouds Around the World.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021
2020
IEEE Trans. Intell. Transp. Syst., 2020
IEEE Trans. Geosci. Remote. Sens., 2020
A Machine Learning Framework to Predict Nutrient Content in Valencia-Orange Leaf Hyperspectral Measurements.
Remote. Sens., 2020
A Hybrid Capsule Network for Land Cover Classification Using Multispectral LiDAR Data.
IEEE Geosci. Remote. Sens. Lett., 2020
A CNN Approach to Simultaneously Count Plants and Detect Plantation-Rows from UAV Imagery.
CoRR, 2020
CoRR, 2020
Early-Season Crop Classification with Radarsat-2 Polarimetric Synthetic Aperture Radar Imagery.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Generation of Horizontally Curved Driving Lines in HD Maps Using Mobile Laser Scanning Point Clouds.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019
2018
Mobile Laser Scanned Point-Clouds for Road Object Detection and Extraction: A Review.
Remote. Sens., 2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
2016
Examining urban expansion using multi-temporal landsat imagery: A case study of montreal census metropolitan area.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
2009
Proceedings of the Fifth International Conference on Natural Computation, 2009